Smart Healthcare

At Sapio, Our Vision Is To Enable Policy Formulators And Stakeholders To Use Intelligence Of Data Thereby, Following The Three Mantras Of

Complex Decision Making for a Hospital

All leading to complex decision making everyday

Cost of each decision is too high

Impacting lives of patients Revenue of hospital Healthcare & Governance Ecosystem

Sapio Smart Healthcare is committed towards solving the menace of COVID-19 through its innovative solutions. For the medical world, it has created Protocol Bots to help doctors and other healthcare professionals, by guiding them on the right steps for treatment.  

For the citizens, it has created an ecosystem to find resources needed to help them during COVID, and seek resources from other citizens who can provide the same. It is now being planned to be executed through a chat bot and will have the support of governments.


Integration of these tools and adding a layer of smartness for the analytics driven out of it remains the weakness. 

Therefore, enabling the need for a smart data backed Decision Support System which can ensure that the complexities of the network become the strength instead of weakness.



Enhancing the operations of hospital by making them ‘smart’


Supporting the government to make policies on a hyperlocalised level which can further enhance the healthcare infrastructure on a macro level

ENHANCING - Smartness Layer
Traditional system in hospital

Integrating all the basic / traditional systems so that they can start talking to each other in a manner such that useful outputs can be derived out of it. The smart elements can further extract the value of the data being already captured, providing insights which cannot be seen using traditional systems alone.

SUPPORTING - Helping Government Formulate Policies On A Hyperlocalised Level

Sapio – being a government advisory firm, has been able to provide successful policy
recommendations to multiple state and central government agencies. We tend to
leverage the hyperlocal data points that we have collected through our extensive primary
and secondary research.




Sapio Healthcare Division

Urban Centres/ Smart Cities

Rural Centres

Research & Development

Smart Hospital Ecosystem

Urban Centres/ Smart Cities

 Target hospital: Government / Municipal Hospitals

There are multiple government and municipal hospitals in any urban centre

A large number of data is being collected (yet, at some places digitisation of such data remains a challenge)

Thereby, introducing the concept to ‘Smart Hospital’ (meant for supporting all stakeholders of a hospital), which can be ensured with the following steps:

Citizen Engagement: Patients’ portals allow the focus to be on citizens while designing the smart layers.

Urban centres Blood pressure monitor
Phase wise execution for a city
Phase wise execution for a city

Phase I – selection of single hospital for pilot purpose.

Phase II – enhancement and interdepartmental interlinkages for enhanced and optimized hospital operations and patient lifecycle.

Phase III – scaling the existing model to ‘Ward’ level (after successful completion of trial).

Phase IV – ward level interlinkages which can enable a smart policy up to hyperlocal level. This can further be enhanced with the help of our existing ‘Hyperlocal Consumer Behaviour Identifier Tool’. Interconnected modules with interconnected hospitals but in a single ward can lead to generation of important and interesting insights which can help revolutionize the healthcare infrastructure up to the ward level.

Phase V – pan city scaling of the model for city level analysis. Phase

Phase VI – conversion of all existing government hospitals into Smart Hospitals, evaluation and certification of existing private hospitals on level of smartness, and new templates for creation of new hospitals.

Current & Past Consumers using our Decision Support System

Rural Centres

Target: Primary Health Care Centres

There are multiple small centres in rural areas, but their effectiveness needs to be increased multiple times, by using digitisation technologies

Many new centres can be created with very limited workforce and budget using the concept of smart hospitals

Localised rural-level research and development with an evaluation of preventive and curative methods can help improve efficiency of the healthcare system

Rural centres
Phase wise Execution in rural centres

Phase I – Identification of Rural areas that need special focus

Phase II – Resource optimization in the Rural Areas

Phase III – Making Centres “Smart”

Phase IV – Creating New A.I. driven Primary Centres or Hybrid Primary Centres (based on extent of digitisation in rural areas)

Research & Development